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Home/ Questions/Q 7185501
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Editorial Team
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Editorial Team
Asked: May 28, 20262026-05-28T18:25:44+00:00 2026-05-28T18:25:44+00:00

I’m developing a sort of intranet wall for people to post information. I’ve been

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I’m developing a sort of intranet wall for people to post information.
I’ve been using normal DB structure for some time, ie:

user_id / username / email / password / name / ... / backgroundColor / ... / mood / ...

A new partner joined the project and he wants to switch to a key/value database to enable more flexibility in the database, ie:

user_id / keyName / value

Being a noob, I understand what he means and how it is more flexible, but I’m worried it’ll increase the number of queries to the database / rows and will slow it down. In addition to that we’ll need some pretty general type to make sure everything fits.

Can anyone tell me the advantages and disadvantages of using such a DB structure and which one you would recommend using? Does this work for small websites, but is it going to cause problems when we get a lot of traffic and users?

I’ve seen other posts, but they don’t talk to me, ie:
Non Relational Database , Key Value or flat table , Using a relational database and a key-value store in combination

Thanks for any help.

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  1. Editorial Team
    Editorial Team
    2026-05-28T18:25:45+00:00Added an answer on May 28, 2026 at 6:25 pm

    If you go that route, MySQL isn’t really the best choice anymore. There are other NoSQL products which are meant for working with less structured key-value data.

    The advantage of NoSQL is that it scales extremely well to super-large sites; the disadvantage is that you lose a lot of the advanced stuff that SQL can do very easily (complex queries, joins, etc.). If you are getting a lot of benefit from advanced SQL functionality, it’s probably better to stick with what you’ve got. If you’re only ever looking up things in one table at a time and always using simple keys to access the data, and you’re worried that you will one day hit the limits of MySQL, NoSQL would eventually allow for higher levels of scalability in the long term.

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